Enhancing Decision Support in Construction through Industrial AI

TL;DR

This paper explores how human-centric AI solutions can improve decision-making in construction production, emphasizing user needs, usability, and factors influencing AI adoption through a demonstrator and user feedback.

Contribution

It identifies key factors for developing effective industrial AI solutions in construction and analyzes their interrelations to enhance decision support and user experience.

Findings

Key factors influencing AI adoption in construction identified

Correlation between user needs and AI usability established

Feedback from construction professionals informs AI development

Abstract

The construction industry is presently going through a transformation led by adopting digital technologies that leverage Artificial Intelligence (AI). These industrial AI solutions assist in various phases of the construction process, including planning, design, production and management. In particular, the production phase offers unique potential for the integration of such AI-based solutions. These AI-based solutions assist site managers, project engineers, coordinators and other key roles in making final decisions. To facilitate the decision-making process in the production phase of construction through a human-centric AI-based solution, it is important to understand the needs and challenges faced by the end users who interact with these AI-based solutions to enhance the effectiveness and usability of these systems. Without this understanding, the potential usage of these AI-based solutions may be limited. Hence, the purpose of this research study is to explore, identify and describe the key factors crucial for developing AI solutions in the construction industry. This study further identifies the correlation between these key factors. This was done by developing a demonstrator and collecting quantifiable feedback through a questionnaire targeting the end users, such as site managers and construction professionals. This research study will offer insights into developing and improving these industrial AI solutions, focusing on Human-System Interaction aspects to enhance decision support, usability, and overall AI solution adoption.